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Velocity Gradient in the Presence of Self-gravity: Identifying Gravity-induced Inflow and Determining Collapsing Stage

  • Authors: Yue Hu, A. Lazarian, and Ka Ho Yuen

2020 The Astrophysical Journal 897 123.

  • Provider: AAS Journals

Caption: Figure A2.

Example of how the VGT identifies collapsing regions from the double-peak algorithm, when the mean magnetic field is 45° inclined to the line of sight. We use simulation A3 with tr ≃ 1.0 Myr and length scale ≃1.96 pc. Top right: magnetic field morphology inferred from VGT. Magnetic field is superimposed on the projected intensity map and visualized using the LIC. Here, γ is the relative angle between the mean magnetic field and the LOS. Top left: magnetic field morphology inferred from synthetic polarization, which is superimposed on the polarized intensity map. Middle left: gravitationally collapsing regions (blue regions) identified from the N-PDFs. Middle right: collapsing regions identified by the double-peak algorithm velocity gradients with a second block size of 30. Bottom left: projected velocity convergence. Bottom right: areas (red contour) of the velocity gradient’s amplitude corresponding to the collapsing regions identified by the double-peak algorithm. In the same regions, we mask the low-amplitude pixel, i.e., its corresponding amplitude is less than the global mean value.

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